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Index
Cover Title Page Copyright Dedication Table of Contents Tables and Figures About the Editors About the Authors Preface Chapter 1: Introduction: Advancing Methods in Social Epidemiology
What Is Social Epidemiology? What Is Social Epidemiologic Methodology? Three Fundamental Issues Advancing Further Still References
PART ONE: MEASURES AND MEASUREMENT
Chapter 2: The Measurement of Socioeconomic Status
What Is Socioeconomic Status? Why Does it Matter? How Is SES Measured? How Should SES Be Measured? Recommendations and Conclusions References
Chapter 3: Measuring and Analyzing “Race,” Racism, and Racial Discrimination
Concepts Measurement Conclusions References
Chapter 4: Measuring Poverty
What Does It Mean to be Poor? Early Attempts at Constructing Poverty Budgets (Thresholds) Current Methods of Poverty Measurement NRC Panel Recommendations Impact on Elderly and Child Poverty Progress Toward Adoption of a New Poverty Measure Conclusions References
Chapter 5: Health Inequalities: Measurement and Decomposition
Issues Measures Decomposition of Inequalities Conclusions References Appendix
Chapter 6: A Conceptual Framework for Measuring Segregation and Its Association with Population Outcomes
What Is Segregation? Why Does Segregation Matter? Conceptual and Methodological Issues in the Measurement of Segregation Measures of Residential Segregation The Association of Segregation with Population Outcomes Summary References
Chapter 7: Measures of Residential Community Contexts
Measurement Strategies for Residential Neighborhoods Observational Measures of Neighborhoods Measures on Perceptions of Neighborhoods Bringing in the Community Perspective Future Directions on Measuring Neighborhood Environments References
PART TWO: DESIGN AND ANALYSIS
Chapter 8: Community-Based Participatory Research: Rationale and Relevance for Social Epidemiology
Definition and Principles of CBPR CBPR and Social Epidemiology Deciding Whether or Not to Use a CBPR Approach The Process of CBPR Common Pitfalls/Challenges and Facilitating Factors in CBPR Discussion Conclusion: “Push Beyond the Research” Acknowledgments References
Chapter 9: Social Network Analysis for Epidemiology
Introduction to Network Concepts Study Design and Data Collection Methods Analytic Approaches Future Directions for SNA Conclusions Acknowledgments References
Chapter 10: Fieldwork with In-Depth Interviews: How to Get Strangers in the City to Tell You Their Stories
Logistics How to Talk to Strangers So It Does Not Feel Strange Conclusion: One Size Does Not Fit All, and Try, Try, Again Acknowledgments References
Chapter 11: Experimental Social Epidemiology: Controlled Community Trials
Randomization and Dependence Implications of Clustering—Proper Inference in Community Trials Efficient Allocation of Resources Subject to Constraints Example of Designing a GRT and Some Further Issues Implementation of Randomized Community Trials Summary References
Chapter 12: Propensity Score Matching for Social Epidemiology
The Counterfactual Framework Propensity Score Matching Methods Worked Example Conclusions References
Chapter 13: Longitudinal Approaches to Social Epidemiologic Research
Analytic Approaches to Describe Longitudinal Patterns Analytic Approaches to Address Sources of Bias in Longitudinal Research Conclusion References Appendix 1. MPLUS Code for Unconditional Growth Model Appendix 2. MPLUS Code for Growth Model with Covariates Appendix 3. SAS Code for Hierarchical Age–Period–Cohort Model Described in Figure 13.5 Appendix 4. SAS Code to Estimate Inverse Probability of Treatment Weights Appendix 5. SAS Code to Estimate Marginal Structural Models
Chapter 14: Fixed Effects and Difference-in-Differences
Methods Applications Conclusion Key Readings and Resources Acknowledgments References
Chapter 15: Fixed Versus Random Effects Models for Multilevel and Longitudinal Data
Between Versus Within Cluster Variables Fixed Effects Random Effects Hybrid Effects Marginal Models An Applied Multilevel Example and Comparison of Results from Different Models Multilevel and Longitudinal Literature Examples Summary and Recommendations for Further Reading References
Chapter 16: Mediation Analysis in Social Epidemiology
The Product Method for Mediation Analysis Counterfactual Approach to Mediation Analysis Controlled or Natural Effects? Decomposition of Racial Inequalities in Health Exposure-Induced Mediator-Outcome Confounding Mediation Analysis with Multiple Mediators Sensitivity Analyses Other Topics Conclusions References
Chapter 17: A Roadmap for Estimating and Interpreting Population Intervention Parameters
Roadmap Other Parameters and Future Directions Conclusions Acknowledgments References
Chapter 18: Using Causal Diagrams to Understand Common Problems in Social Epidemiology
Some Background Definitions Graphical Models Applying DAGs to Guide Analyses in Social Epidemiology Caveats and Conclusion Acknowledgments References
Chapter 19: Natural Experiments and Instrumental Variables Analyses in Social Epidemiology
Motivations for Using Instrumental Variables in Social Epidemiology Research Assumptions and Estimation in IV Analyses Framing Natural Experiments and IVs Causally A Good Instrument Is Hard to Find Limitations of IV Analyses Conclusion References
Index End User License Agreement
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